Spaces:
Sleeping
Sleeping
Delete README.md
Browse files
README.md
DELETED
|
@@ -1,34 +0,0 @@
|
|
| 1 |
-
---
|
| 2 |
-
title: Stock Price Forecasting
|
| 3 |
-
emoji: 📈
|
| 4 |
-
colorFrom: blue
|
| 5 |
-
colorTo: green
|
| 6 |
-
sdk: gradio
|
| 7 |
-
sdk_version: 5.49.0
|
| 8 |
-
app_file: app.py
|
| 9 |
-
pinned: false
|
| 10 |
-
license: mit
|
| 11 |
-
---
|
| 12 |
-
|
| 13 |
-
# Stock Price Forecasting App
|
| 14 |
-
|
| 15 |
-
This application uses three different models (ARIMA, Prophet, and LSTM) to forecast stock prices.
|
| 16 |
-
|
| 17 |
-
## Features
|
| 18 |
-
- Real-time stock data fetching from Yahoo Finance
|
| 19 |
-
- Multiple forecasting models
|
| 20 |
-
- Interactive visualizations
|
| 21 |
-
- Customizable forecast periods
|
| 22 |
-
|
| 23 |
-
## Models
|
| 24 |
-
1. **ARIMA** - Traditional statistical model
|
| 25 |
-
2. **Prophet** - Facebook's time series forecasting
|
| 26 |
-
3. **LSTM** - Deep learning neural network
|
| 27 |
-
|
| 28 |
-
## Usage
|
| 29 |
-
1. Enter a stock ticker symbol (e.g., AAPL, GOOGL)
|
| 30 |
-
2. Select forecast period (1-90 days)
|
| 31 |
-
3. Choose which model(s) to use
|
| 32 |
-
4. Click "Generate Forecast"
|
| 33 |
-
|
| 34 |
-
⚠️ **Disclaimer**: For educational purposes only. Not financial advice.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|